AI-Native Cloud Platform. Backed by Y Combinator.
About the role
We’re hiring a Product Engineer to own the developer experience built on top of our infrastructure. That means the SDK, CLI, API, and dashboard that developers use every day. You’ll ship features end to end, from talking with customers to writing the backend service and designing UIs that are delightful to use. You’ll also work closely with the team building the runtime underneath. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You’ve built and shipped a product end-to-end (big plus if it involved developer tools)
- Experience with a statically typed language like Go, TypeScript, or Rust (preferred)
- Comfort with distributed systems and cloud-native tooling like Kubernetes, gRPC, and Terraform. You don’t need to be an expert, but you should be able to reason about these things
- Strong product sense: you notice friction and fix it
- Excited to collaborate closely with customers
- Enthusiasm for developer tools and cloud-native technologies
More about this role
Beam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.
We’re hiring a Product Engineer to own the developer experience built on top of our infrastructure. That means the SDK, CLI, API, and dashboard that developers use every day. You’ll ship features end to end, from talking with customers to writing the backend service and designing UIs that are delightful to use. You’ll also work closely with the team building the runtime underneath.
- Building and shipping features across our Python SDK, CLI, API, and web dashboard
- Designing a first-class experience for agents and humans
- Making the path from sign-up to first deployed workload as fast and painless as possible
- Turning low-level capabilities into simple, intuitive product surfaces. These include things like mountable NVME drives, GPU checkpoint/restore, lazy-loaded images, and multi-cloud...
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